BigID
Enterprise Data Security Platform for DSPM & AI — enterprise-scale data discovery, security, and compliance.
Last verified April 26, 2026About BigID
BigID is an enterprise data security and AI governance platform that uses patented AI-driven classification to discover, classify, and govern sensitive data across cloud, SaaS, on-premises, and AI environments. Its AI governance capabilities include shadow AI discovery, AI model inventory, employee AI access governance, AI security posture management (AISPM), secure data pipelines for AI training, and compliance tooling for EU AI Act and NIST AI RMF. BigID also provides comprehensive data privacy, DSPM, DLP, and data minimization capabilities for regulated industries.
Framework coverage
Coverage claims documented by BigID on their own materials. Chip shading reflects the strength of the claim, not an independent audit.
EU · in force
US · voluntary
United States · active
International (PCI SSC) · active
Capabilities
Features BigID markets publicly. Inclusion means the capability is documented — not that it's best-in-class.
AI Model Inventory
Centralized registry of all AI/ML models in use across the organization, with ownership, lifecycle stage, and risk classification.
Risk Assessment Workflow
Guided workflows for completing AI impact assessments, risk scoring, and approval routing.
Policy Management
Authoring, versioning, and distribution of AI usage policies mapped to regulations.
Data Lineage
Tracking the origin, movement, transformations, and consumers of data used to train and serve AI systems — required for EU AI Act Article 10 data governance and GDPR Article 30 record-keeping.
Audit Logging
Tamper-evident logging of governance events (approvals, model changes, policy decisions) required by EU AI Act Article 12 and similar regulations.
Third-Party AI Vendor Risk
Intake and assessment of AI features in third-party SaaS used by the organization.
Regulatory Intelligence
Ongoing tracking of AI laws, standards, and enforcement, mapped to your model inventory.
LLM Guardrails
Runtime input/output filtering for LLMs — PII redaction, toxicity blocking, prompt injection defense, policy enforcement.
Bias & Fairness Testing
Automated statistical testing for disparate impact across protected attributes, with audit-ready reports.
Third-Party AI Risk Management
Due diligence and ongoing monitoring of AI vendors, subprocessors, and foundation model providers against compliance and security criteria.
Audit Evidence Collection
Automated collection, hashing, and retention of evidence (model cards, test results, approvals) for audit.
Industries served
Pricing
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